Writer adaptation for E2E Arabic online handwriting recognition via adversarial multi task learning
The importance of online handwriting recognition has been rapidly increasing over recent years due to the rapid technological advances in handheld devices and communication software with handwriting interfaces. Deep learning end-to-end (E2E) models have provided high recognition rates as part of onl...
Main Authors: | Fakhraddin Alwajih, Eman Badr, Sherif Abdou |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
|
Series: | Egyptian Informatics Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866522000196 |
Similar Items
-
Validity of kinematics measures to assess handwriting development and disorders with a graphomotor task
by: C. Lopez, et al.
Published: (2021-04-01) -
In a split second: Handwriting pauses in typical and struggling writers
by: Mariona Pascual, et al.
Published: (2023-01-01) -
Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination
by: Maram Saleh Alwagdani, et al.
Published: (2023-07-01) -
Towards Accurate Children’s Arabic Handwriting Recognition via Deep Learning
by: Anfal Bin Durayhim, et al.
Published: (2023-01-01) -
Recognition of Online Turkish Handwriting using Transfer Learning
by: Esma Fatıma BİLGİN TAŞDEMİR
Published: (2023-09-01)